Peter Hess

Dave Mosher

Mike Murphy

Kim Martineau

News

Research

Release

Explainer

Quantum computers take a step into real materials science

Next-generation algorithms could move fusion from the lab to the grid

Where the frontiers of high-speed racing and computing meet

How IBM is using quantum computing to understand the operating system of the universe

How to use sample-based quantum diagonalization on IBM hardware

Renowned mathematician Subhash Khot joins IBM Research  

The fast Fourier transform, how and why it works

Quantum Use Cases

Foundation Models

Mathematical Sciences

Exploratory Science

Physical Sciences

Quantum Algorithms

Quantum Research

Quantum Software

Quantum

Accelerated Discovery

Technology impacts every aspect of our work and lives. It is imperative that technology is built responsibly to reduce differential effects on various populations. At IBM Research, we are working to ensure that the technologies we create promote beneficial outcomes for our clients and for the world.

Responsible Technology

IBM has been at the forefront of computer science research since the field’s inception. Our research today focuses on achieving breakthroughs in automation, information processing, and computation. Our goal is to complement and extend human performance — and advance society as a whole. 

Computer Science

We’re working on automation, information processing, and computation research to complement and extend human performance and advance society.

Our long history of research has had an enduring impact on computer science, operations research, and information theory. We’re currently focused on optimization, probability, complexity, geometry of data, as well as linear and multi-linear algebra, to deliver tools that are fundamental to big data and AI.

We’re focused on foundational mathematical research with the aim of delivering tools to that are fundamental to big data and AI.

Our physical sciences researchers seek to understand materials and their properties through advanced characterization methods, explore novel devices and materials for new computational platforms, and apply physics to improve AI algorithms and interpretability.



We’re using physics to improve AI algorithms and interpretability, as well as novel materials for new computational platforms. 


Our researchers seek to answer some of the most fundamental questions. We strive for a greater understanding of how our world works and how we can harness that knowledge to advance science, mathematics, and computation.

Exploratory Science

Our work

The fast Fourier transform, how and why it works

Renowned mathematician Subhash Khot joins IBM Research

How IBM is using quantum computing to understand the operating system of the universe

How to use sample-based quantum diagonalization on IBM hardware

Where the frontiers of high-speed racing and computing meet

Next-generation algorithms could move fusion from the lab to the grid

Topics

Computer Science

Mathematical Sciences

Physical Sciences

Responsible Technology

Publications

CoFrGeNet: Continued Fraction Architectures for Language Generation

Transformer Circuits Can Realize Clustering Algorithms

Position: Agentic Systems Should be General

Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background

FlowState: Sampling-Rate-Equivariant Time-Series Forecasting

One Error to Rule Them All: Can a Single Bit-Flip Disrupt Fully Homomorphic Encryption?